Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach.
Majid MazouchiYongliang YangHamidreza ModaresPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- optimal control
- data driven
- reinforcement learning
- multi objective
- control problems
- dynamic programming
- feedback control
- risk sensitive
- control strategy
- evolutionary algorithm
- class of nonlinear systems
- rl algorithms
- multiobjective optimization
- infinite horizon
- optimization algorithm
- brownian motion
- optimal control problems
- multiple objectives
- state space
- policy gradient
- multi objective optimization
- function approximation
- markov decision processes
- average cost
- dynamic environments
- particle swarm optimization
- objective function
- actor critic
- neural network